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Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Mathmodel Skill is the strongest overall pick here because it has a 94/100 readiness score and fits GitHub automation.

Strongest overall

Mathmodel Skill

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Mathmodel Skill

Best first install candidate based on install readiness and adoption.

Freshest repo

Mathmodel Skill

Most recent maintenance signal among this shortlist.

SignalMathmodel Skill

数学建模竞赛（CUMCM/MCM/电工杯）的Agent工作流，支持Claude Code和Codex CLI，提供10阶段流程、决策日志和可恢复协作。

Quality
95/100
Excellent
Decision verdict
94/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption153 stars
0 installs
FreshnessJul 22, 2026
Use-case fit
GitHub automationCoding agentsResearch agents
Workflow fit
Coding review agentResearch report agent
Platform hintsPython, Claude Code, OpenAI Agents
WarningsNo OpenAgentSkill engagement data yet
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Best for
GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add handsomeZR-netizen/mathmodel-skill